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Mendeley readers
Attention Score in Context
Chapter title |
Stacked Hourglass Networks for Human Pose Estimation
|
---|---|
Chapter number | 29 |
Book title |
Computer Vision – ECCV 2016
|
Published in |
Lecture notes in computer science, September 2016
|
DOI | 10.1007/978-3-319-46484-8_29 |
Book ISBNs |
978-3-31-946483-1, 978-3-31-946484-8
|
Authors |
Alejandro Newell, Kaiyu Yang, Jia Deng, Newell, Alejandro, Yang, Kaiyu, Deng, Jia |
Editors |
Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling |
Mendeley readers
The data shown below were compiled from readership statistics for 2,622 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Russia | 2 | <1% |
Ireland | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 2616 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 531 | 20% |
Student > Master | 489 | 19% |
Researcher | 244 | 9% |
Student > Bachelor | 224 | 9% |
Student > Postgraduate | 78 | 3% |
Other | 213 | 8% |
Unknown | 843 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1202 | 46% |
Engineering | 370 | 14% |
Neuroscience | 22 | <1% |
Agricultural and Biological Sciences | 21 | <1% |
Physics and Astronomy | 20 | <1% |
Other | 100 | 4% |
Unknown | 887 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2022.
All research outputs
#1,831,515
of 23,189,371 outputs
Outputs from Lecture notes in computer science
#313
of 8,154 outputs
Outputs of similar age
#33,673
of 321,688 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 516 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 516 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.